MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1223
Single Precision Score
1174
Half Precision Score
513
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 18 2024 08:44 PM |
| Views | 2 |
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% |
569
105.9 IPS |
|
|
Image Classification (HP)
|
100% |
841
156.5 IPS |
|
|
Image Classification (Q)
|
96% |
131
24.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
121
1.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
5100
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
1595
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
92% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
168
1.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
4343
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3457
26.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2823
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8036
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9538
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
10822
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1561
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
121
160.9 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.3 IPS |
|
|
Text Classification (Q)
|
93% |
197
264.3 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.99 IPS |
|
|
Machine Translation (Q)
|
98% |
231
3.99 IPS |
