Macbook Pro i9 8950HK 2,9 (15" Mid 2018) 32GB /512 SSD UHD 630 Radeon 560x Tomasz Kizny MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1542
Single Precision Score
1366
Half Precision Score
240
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | konopek1971 |
| Upload Date | December 08 2024 02:06 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
738
137.2 IPS |
|
|
Image Classification (HP)
|
100% |
1001
186.1 IPS |
|
|
Image Classification (Q)
|
96% |
112
20.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
123
1.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
7240
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
1497
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (Q)
|
92% |
110
8.74 IPS |
|
|
Face Detection (SP)
|
100% |
4204
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
182
2.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
6242
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4530
34.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14461
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13658
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
15429
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2645
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1853
68.4 IPS |
|
|
Text Classification (SP)
|
100% |
127
169.0 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.0 IPS |
|
|
Text Classification (Q)
|
93% |
214
287.5 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
98% |
257
4.44 IPS |
