MacBook Pro (13-inch, 2022)
Geekbench ML Score
5456
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2025 10:16 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.18 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% |
2822
528.1 IPS |
|
|
Image Classification (F16)
|
100% |
3380
632.5 IPS |
|
|
Image Classification (I8)
|
99% |
3474
650.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1386
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1476
24.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1346
22.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20134
24.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25676
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25698
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2784
207.8 IPS |
|
|
Object Detection (F16)
|
100% |
1875
140.0 IPS |
|
|
Object Detection (I8)
|
97% |
1884
140.6 IPS |
|
|
Face Detection (F32)
|
100% |
9086
108.0 IPS |
|
|
Face Detection (F16)
|
98% |
10654
126.7 IPS |
|
|
Face Detection (I8)
|
97% |
10696
127.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
13228
102.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10162
78.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
18240
141.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41574
54.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47847
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
38742
51.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3441
122.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8374
299.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7511
268.2 IPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3494
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3421
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1060
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
914
16.8 IPS |
