MacBook Pro (13-inch, 2022)
Geekbench ML Score
6209
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 07:15 PM |
| Views | 2 |
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 | 3.48 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% |
3443
644.3 IPS |
|
|
Image Classification (F16)
|
100% |
3502
655.3 IPS |
|
|
Image Classification (I8)
|
99% |
3033
567.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1476
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1523
25.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1543
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22879
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25219
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25143
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2874
214.5 IPS |
|
|
Object Detection (I8)
|
97% |
2755
205.6 IPS |
|
|
Face Detection (F32)
|
100% |
9298
110.6 IPS |
|
|
Face Detection (F16)
|
98% |
10720
127.5 IPS |
|
|
Face Detection (I8)
|
97% |
10712
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16184
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17512
135.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17562
136.2 IPS |
|
|
Style Transfer (F32)
|
100% |
38304
50.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47655
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47541
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8640
308.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9564
341.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10491
374.7 IPS |
|
|
Text Classification (F32)
|
100% |
2167
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3582
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3586
5.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1125
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1124
20.7 IPS |
