MacBook Pro (13-inch, 2022)
Geekbench ML Score
9206
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 17 2025 07:34 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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 | 3.46 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% |
3236
605.5 IPS |
|
|
Image Classification (F16)
|
100% |
11700
2.19 KIPS |
|
|
Image Classification (I8)
|
99% |
12230
2.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1248
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1991
33.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1493
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
18205
22.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
96527
116.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
97984
118.7 IPS |
|
|
Object Detection (F32)
|
100% |
2865
213.9 IPS |
|
|
Object Detection (F16)
|
100% |
5489
409.8 IPS |
|
|
Object Detection (I8)
|
97% |
2235
166.8 IPS |
|
|
Face Detection (F32)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (F16)
|
97% |
18478
219.7 IPS |
|
|
Face Detection (I8)
|
96% |
19759
234.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15693
121.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
53419
414.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
52807
409.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40889
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
138616
182.3 IPS |
|
|
Style Transfer (I8)
|
100% |
145367
191.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6788
242.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36111
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33888
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3364
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3334
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
703
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
681
12.5 IPS |
