MacBook Pro (13-inch, 2022)
Geekbench ML Score
5620
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 24 2025 06:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.47 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% |
3330
623.2 IPS |
|
|
Image Classification (F16)
|
100% |
3457
646.9 IPS |
|
|
Image Classification (I8)
|
99% |
3460
647.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1151
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1504
25.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1470
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20500
24.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25403
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
22382
27.1 IPS |
|
|
Object Detection (F32)
|
100% |
1550
115.7 IPS |
|
|
Object Detection (F16)
|
100% |
2185
163.1 IPS |
|
|
Object Detection (I8)
|
97% |
2818
210.4 IPS |
|
|
Face Detection (F32)
|
100% |
8924
106.1 IPS |
|
|
Face Detection (F16)
|
98% |
10005
119.0 IPS |
|
|
Face Detection (I8)
|
97% |
8495
101.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15768
122.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17401
134.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17012
131.9 IPS |
|
|
Style Transfer (F32)
|
100% |
35231
46.3 IPS |
|
|
Style Transfer (F16)
|
100% |
29422
38.7 IPS |
|
|
Style Transfer (I8)
|
100% |
38750
51.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8557
305.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8484
303.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8788
313.9 IPS |
|
|
Text Classification (F32)
|
100% |
2076
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3482
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3474
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1098
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1047
19.3 IPS |
