MacBook Pro (13-inch, 2022)
Geekbench AI Score
6598
Single Precision Score
7338
Half Precision Score
6453
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ShrootBuck |
| Upload Date | November 16 2024 02:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3661
680.9 IPS |
|
|
Image Classification (HP)
|
100% |
3618
672.8 IPS |
|
|
Image Classification (Q)
|
97% |
3005
560.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4034
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5007
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5089
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24592
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26321
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24405
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3484
276.4 IPS |
|
|
Object Detection (HP)
|
100% |
3713
294.5 IPS |
|
|
Object Detection (Q)
|
91% |
3061
244.6 IPS |
|
|
Face Detection (SP)
|
100% |
10379
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11962
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
8352
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16424
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17205
132.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
14140
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41014
52.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46913
60.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43932
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9386
346.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9776
361.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7674
283.4 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3687
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
747
12.9 IPS |
