MacBook Pro (13-inch, 2022)
Geekbench ML Score
5580
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 07 2025 06:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.45 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% |
3187
596.3 IPS |
|
|
Image Classification (F16)
|
100% |
3239
606.1 IPS |
|
|
Image Classification (I8)
|
99% |
3070
574.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1373
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1354
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1360
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22635
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24825
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
23671
28.7 IPS |
|
|
Object Detection (F32)
|
100% |
2304
172.0 IPS |
|
|
Object Detection (F16)
|
100% |
2513
187.6 IPS |
|
|
Object Detection (I8)
|
97% |
2567
191.6 IPS |
|
|
Face Detection (F32)
|
100% |
9001
107.0 IPS |
|
|
Face Detection (F16)
|
98% |
10362
123.2 IPS |
|
|
Face Detection (I8)
|
97% |
7168
85.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15844
122.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17763
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17244
133.7 IPS |
|
|
Style Transfer (F32)
|
100% |
33354
43.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22361
29.4 IPS |
|
|
Style Transfer (I8)
|
100% |
44916
59.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8544
305.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8536
304.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8826
315.2 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3353
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3358
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1050
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
935
17.2 IPS |
|
|
Machine Translation (I8)
|
99% |
991
18.2 IPS |
