MacBook Pro (13-inch, 2022)
Geekbench AI Score
3434
Single Precision Score
6007
Half Precision Score
4873
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 13 2025 03:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2784
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15128
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12874
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2793
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
2029
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5900
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3430
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5503
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10952
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7693
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18613
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29090
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24036
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3975
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5006
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3706
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3872
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6424
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6439
111.3 IPS |
