MacBook Pro (13-inch, 2022)
Geekbench ML Score
5974
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 02 2025 06:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.28 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% |
3374
631.3 IPS |
|
|
Image Classification (F16)
|
100% |
3386
633.5 IPS |
|
|
Image Classification (I8)
|
99% |
3389
634.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1182
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1491
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1479
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21764
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25218
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25065
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2878
214.8 IPS |
|
|
Object Detection (F16)
|
100% |
2925
218.4 IPS |
|
|
Object Detection (I8)
|
97% |
2493
186.1 IPS |
|
|
Face Detection (F32)
|
100% |
9010
107.1 IPS |
|
|
Face Detection (F16)
|
98% |
10416
123.8 IPS |
|
|
Face Detection (I8)
|
97% |
10074
119.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16019
124.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17036
132.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17444
135.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40934
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47532
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
45883
60.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9674
345.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8654
309.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10136
362.0 IPS |
|
|
Text Classification (F32)
|
100% |
1140
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
3563
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3517
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1151
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1070
19.7 IPS |
