MacBook Pro (13-inch, 2022)
Geekbench AI Score
3425
Single Precision Score
27169
Half Precision Score
30809
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ShrootBuck |
| Upload Date | November 16 2024 02:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
14445
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15639
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18600
301.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23769
385.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
104416
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104891
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
15209
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17602
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
30980
368.1 IPS |
|
|
Face Detection (Q)
|
100% |
42865
509.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86332
665.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108753
849.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18290
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
198904
255.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191591
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39212
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47793
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6598
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7064
122.1 IPS |
