MacBook Pro (13-inch, 2022)
Geekbench ML Score
5779
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2025 07:17 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3429
641.7 IPS |
|
|
Image Classification (F16)
|
100% |
3453
646.2 IPS |
|
|
Image Classification (I8)
|
99% |
3009
563.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1566
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1364
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22801
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25204
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
20672
25.0 IPS |
|
|
Object Detection (F32)
|
100% |
2870
214.2 IPS |
|
|
Object Detection (F16)
|
100% |
2976
222.2 IPS |
|
|
Object Detection (I8)
|
97% |
2004
149.6 IPS |
|
|
Face Detection (F32)
|
100% |
4086
48.6 IPS |
|
|
Face Detection (F16)
|
98% |
10388
123.5 IPS |
|
|
Face Detection (I8)
|
97% |
10202
121.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13388
103.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17777
137.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17379
134.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40917
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47660
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47616
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6425
229.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10491
374.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10469
373.9 IPS |
|
|
Text Classification (F32)
|
100% |
2173
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3570
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3373
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1107
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1107
20.4 IPS |
