MacBook Pro (13-inch, 2022)
Geekbench AI Score
3442
Single Precision Score
27404
Half Precision Score
30425
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jamesbogert |
| Upload Date | December 10 2024 06:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
14674
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15371
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19218
311.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23706
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
100926
117.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104598
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
15083
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17082
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33671
400.1 IPS |
|
|
Face Detection (Q)
|
100% |
42644
506.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86567
666.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107906
843.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200593
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
187765
242.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39675
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46759
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6409
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6930
119.8 IPS |
