MacBook Pro (13-inch, 2022)
Geekbench AI Score
3441
Single Precision Score
5952
Half Precision Score
4818
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jacofaco |
| Upload Date | October 15 2024 08:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.9 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2551
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2868
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14861
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2875
228.9 IPS |
|
|
Object Detection (Q)
|
94% |
2071
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5603
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11604
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8023
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18826
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28397
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23853
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3587
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5784
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5723
98.9 IPS |
