MacBook Pro (13-inch, 2022)
Geekbench AI Score
3488
Single Precision Score
6005
Half Precision Score
4890
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 10:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2867
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14975
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12986
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2904
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2096
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3561
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5806
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11807
91.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8233
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18719
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28470
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23854
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3660
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3784
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5892
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5868
101.4 IPS |
