MacBook Pro (13-inch, 2022)
Geekbench AI Score
3450
Single Precision Score
6059
Half Precision Score
4936
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 12:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.7 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6834
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15251
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13067
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2840
226.1 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6011
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3513
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5563
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11144
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7857
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18650
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29257
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24285
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3987
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3751
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6550
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6518
112.6 IPS |
