MacBook Pro (13-inch, 2022)
Geekbench ML Score
6008
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 03 2025 06:55 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.13 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% |
3344
625.7 IPS |
|
|
Image Classification (F16)
|
100% |
3467
648.7 IPS |
|
|
Image Classification (I8)
|
99% |
3504
655.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1511
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1525
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1549
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23069
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25674
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24411
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2766
206.5 IPS |
|
|
Object Detection (F16)
|
100% |
2888
215.6 IPS |
|
|
Object Detection (I8)
|
97% |
2411
180.0 IPS |
|
|
Face Detection (F32)
|
100% |
8664
103.0 IPS |
|
|
Face Detection (F16)
|
98% |
10508
124.9 IPS |
|
|
Face Detection (I8)
|
97% |
10586
125.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16361
126.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17062
132.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
18127
140.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40419
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47223
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47052
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9346
333.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8286
295.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7250
258.9 IPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3410
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3434
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
960
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
973
17.9 IPS |
