MacBook Pro (13-inch, 2022)
Geekbench ML Score
5675
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 10 2025 04:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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% |
3358
628.3 IPS |
|
|
Image Classification (F16)
|
100% |
3402
636.7 IPS |
|
|
Image Classification (I8)
|
99% |
3357
628.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1436
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1422
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1364
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22757
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25191
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25125
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2101
156.8 IPS |
|
|
Object Detection (F16)
|
100% |
2875
214.6 IPS |
|
|
Object Detection (I8)
|
97% |
2792
208.4 IPS |
|
|
Face Detection (F32)
|
100% |
9357
111.3 IPS |
|
|
Face Detection (F16)
|
98% |
10748
127.8 IPS |
|
|
Face Detection (I8)
|
97% |
10737
127.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15614
121.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
16626
128.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17301
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41121
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47569
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47670
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7404
264.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7410
264.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7247
258.8 IPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3452
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3506
5.04 KIPS |
|
|
Machine Translation (F32)
|
0% |
705
13.0 IPS |
|
|
Machine Translation (F16)
|
0% |
720
13.3 IPS |
|
|
Machine Translation (I8)
|
0% |
680
12.5 IPS |
