MacBook Pro (13-inch, 2022)
Geekbench ML Score
5946
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2025 06:51 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.47 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% |
3417
639.5 IPS |
|
|
Image Classification (F16)
|
100% |
3436
643.0 IPS |
|
|
Image Classification (I8)
|
99% |
3372
631.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1421
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1413
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1445
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23328
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24751
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25117
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2839
212.0 IPS |
|
|
Object Detection (F16)
|
100% |
2920
218.0 IPS |
|
|
Object Detection (I8)
|
97% |
2894
216.0 IPS |
|
|
Face Detection (F32)
|
100% |
9123
108.5 IPS |
|
|
Face Detection (F16)
|
98% |
10088
119.9 IPS |
|
|
Face Detection (I8)
|
97% |
10044
119.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16396
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17575
136.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17307
134.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40873
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47290
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46307
60.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8483
303.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8730
311.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8463
302.2 IPS |
|
|
Text Classification (F32)
|
100% |
1946
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3526
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
885
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
882
16.2 IPS |
