MacBook Pro (13-inch, 2022)
Geekbench ML Score
5387
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 12 2025 07:27 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
3260
609.9 IPS |
|
|
Image Classification (F16)
|
100% |
3371
630.8 IPS |
|
|
Image Classification (I8)
|
99% |
3593
672.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1396
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1440
24.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1459
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
19490
23.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25537
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25205
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2563
191.4 IPS |
|
|
Object Detection (F16)
|
100% |
1407
105.1 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
8964
106.6 IPS |
|
|
Face Detection (F16)
|
98% |
10245
121.8 IPS |
|
|
Face Detection (I8)
|
97% |
10761
128.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
13370
103.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8281
64.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17445
135.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41407
54.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47890
63.0 IPS |
|
|
Style Transfer (I8)
|
100% |
37963
49.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3583
128.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8075
288.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7719
275.7 IPS |
|
|
Text Classification (F32)
|
100% |
2182
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3502
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3612
5.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1180
21.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1017
18.7 IPS |
