MacBook Pro (13-inch, 2022)
Geekbench ML Score
5434
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 02 2025 06:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.45 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% |
3281
613.9 IPS |
|
|
Image Classification (F16)
|
100% |
3253
608.7 IPS |
|
|
Image Classification (I8)
|
99% |
3196
598.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1458
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1194
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22511
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25116
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25104
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2601
194.2 IPS |
|
|
Object Detection (F16)
|
100% |
1883
140.5 IPS |
|
|
Object Detection (I8)
|
97% |
2805
209.4 IPS |
|
|
Face Detection (F32)
|
100% |
8911
106.0 IPS |
|
|
Face Detection (F16)
|
98% |
9921
118.0 IPS |
|
|
Face Detection (I8)
|
97% |
6971
82.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8546
66.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11521
89.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17685
137.1 IPS |
|
|
Style Transfer (F32)
|
100% |
39614
52.1 IPS |
|
|
Style Transfer (F16)
|
100% |
44669
58.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46513
61.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8247
294.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9578
342.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4320
154.3 IPS |
|
|
Text Classification (F32)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3410
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3435
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
882
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1015
18.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1040
19.1 IPS |
