MacBook Pro (13-inch, 2022)
Geekbench AI Score
3482
Single Precision Score
26234
Half Precision Score
29326
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 12 2025 07:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
14303
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15489
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19005
308.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24032
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6883
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103146
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104502
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
15400
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17209
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33254
395.1 IPS |
|
|
Face Detection (Q)
|
100% |
42535
505.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5751
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86278
664.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
106792
834.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18734
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202058
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
187040
241.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39510
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51852
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3774
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3760
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4138
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4244
73.3 IPS |
