MacBook Pro (13-inch, 2022)
Geekbench ML Score
6009
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 30 2025 06:12 PM |
| Views | 8 |
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 | 3.15 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% |
3414
638.9 IPS |
|
|
Image Classification (F16)
|
100% |
3491
653.4 IPS |
|
|
Image Classification (I8)
|
99% |
3519
658.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1489
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1476
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23039
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25404
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25443
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2628
196.2 IPS |
|
|
Object Detection (F16)
|
100% |
2820
210.6 IPS |
|
|
Object Detection (I8)
|
97% |
2677
199.9 IPS |
|
|
Face Detection (F32)
|
100% |
8904
105.9 IPS |
|
|
Face Detection (F16)
|
98% |
10751
127.8 IPS |
|
|
Face Detection (I8)
|
97% |
10548
125.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13391
103.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16711
129.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17476
135.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40755
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
42969
56.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47630
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8715
311.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10588
378.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7215
257.7 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3432
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3393
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1031
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
