MacBook Pro (13-inch, 2022)
Geekbench ML Score
9625
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 08:16 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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% |
3448
645.1 IPS |
|
|
Image Classification (F16)
|
100% |
10152
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
12443
2.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1490
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1919
32.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1663
27.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
21527
26.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94538
114.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96765
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2700
201.6 IPS |
|
|
Object Detection (F16)
|
100% |
4108
306.7 IPS |
|
|
Object Detection (I8)
|
97% |
1773
132.4 IPS |
|
|
Face Detection (F32)
|
100% |
8698
103.4 IPS |
|
|
Face Detection (F16)
|
97% |
16668
198.2 IPS |
|
|
Face Detection (I8)
|
96% |
20308
241.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15970
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
54489
422.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
51403
398.6 IPS |
|
|
Style Transfer (F32)
|
100% |
39283
51.7 IPS |
|
|
Style Transfer (F16)
|
100% |
144500
190.1 IPS |
|
|
Style Transfer (I8)
|
100% |
141660
186.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8428
301.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34016
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34195
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2112
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3399
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3296
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1097
20.2 IPS |
