MacBook Pro (13-inch, 2022)
Geekbench ML Score
9170
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2025 07:02 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 | 3.38 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3385
633.5 IPS |
|
|
Image Classification (F16)
|
100% |
9941
1.86 KIPS |
|
|
Image Classification (I8)
|
99% |
10772
2.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1330
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1803
30.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1709
28.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23240
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
76619
92.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
90330
109.4 IPS |
|
|
Object Detection (F32)
|
100% |
2245
167.6 IPS |
|
|
Object Detection (F16)
|
100% |
5120
382.2 IPS |
|
|
Object Detection (I8)
|
97% |
2801
209.1 IPS |
|
|
Face Detection (F32)
|
100% |
8962
106.6 IPS |
|
|
Face Detection (F16)
|
97% |
15716
186.9 IPS |
|
|
Face Detection (I8)
|
96% |
15841
188.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16217
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
44378
344.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
56082
434.9 IPS |
|
|
Style Transfer (F32)
|
100% |
34369
45.2 IPS |
|
|
Style Transfer (F16)
|
100% |
143728
189.1 IPS |
|
|
Style Transfer (I8)
|
100% |
146745
193.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7822
279.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31303
1.12 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34219
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3430
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3457
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
806
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1258
23.2 IPS |
|
|
Machine Translation (I8)
|
99% |
709
13.0 IPS |
