MacBook Pro (13-inch, 2022)
Geekbench ML Score
4719
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 02 2024 09:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2796
523.2 IPS |
|
|
Image Classification (F16)
|
100% |
3283
614.3 IPS |
|
|
Image Classification (I8)
|
99% |
3119
583.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
981
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1021
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
994
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23147
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15250
18.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24407
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2229
166.4 IPS |
|
|
Object Detection (F16)
|
100% |
2317
173.0 IPS |
|
|
Object Detection (I8)
|
97% |
1763
131.7 IPS |
|
|
Face Detection (F32)
|
100% |
8138
96.8 IPS |
|
|
Face Detection (F16)
|
98% |
9230
109.7 IPS |
|
|
Face Detection (I8)
|
97% |
9181
109.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16002
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17641
136.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
15889
123.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40375
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
45193
59.4 IPS |
|
|
Style Transfer (I8)
|
100% |
45776
60.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6566
234.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7045
251.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6993
249.8 IPS |
|
|
Text Classification (F32)
|
100% |
1388
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2212
3.18 KIPS |
|
|
Text Classification (I8)
|
96% |
2197
3.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
526
9.69 IPS |
|
|
Machine Translation (F16)
|
100% |
544
10.0 IPS |
|
|
Machine Translation (I8)
|
99% |
457
8.42 IPS |
