MacBook Pro (13-inch, 2022)
Geekbench ML Score
6103
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 07:13 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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% |
3315
620.4 IPS |
|
|
Image Classification (F16)
|
100% |
3434
642.6 IPS |
|
|
Image Classification (I8)
|
99% |
3447
645.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1493
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1159
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1462
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23570
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25506
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
22145
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
2893
216.0 IPS |
|
|
Object Detection (F16)
|
100% |
2956
220.7 IPS |
|
|
Object Detection (I8)
|
97% |
2814
210.1 IPS |
|
|
Face Detection (F32)
|
100% |
9703
115.4 IPS |
|
|
Face Detection (F16)
|
98% |
11264
133.9 IPS |
|
|
Face Detection (I8)
|
97% |
11073
131.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16467
127.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
18157
140.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
18458
143.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41179
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
48228
63.4 IPS |
|
|
Style Transfer (I8)
|
100% |
39310
51.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7086
253.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7449
266.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10542
376.5 IPS |
|
|
Text Classification (F32)
|
100% |
2160
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3273
4.70 KIPS |
|
|
Text Classification (I8)
|
96% |
3460
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1174
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1216
22.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1148
21.1 IPS |
