MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1351
Single Precision Score
1335
Half Precision Score
545
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | September 23 2024 03:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 555X |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (HP)
|
100% |
1005
186.9 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
124
2.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
5097
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5375
6.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1687
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (Q)
|
92% |
139
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
173
2.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
4352
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4498
34.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4040
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10328
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10400
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12636
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2107
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
132
175.9 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.7 IPS |
|
|
Text Classification (Q)
|
93% |
120
161.6 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
98% |
262
4.52 IPS |
