MacBook Pro (13-inch, 2022)
Geekbench AI Score
3296
Single Precision Score
26632
Half Precision Score
30039
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 06 2025 09:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
14415
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15930
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19573
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24128
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105787
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106918
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.7 IPS |
|
|
Object Detection (HP)
|
99% |
15771
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17120
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34455
409.4 IPS |
|
|
Face Detection (Q)
|
100% |
44305
526.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5344
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87767
676.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111491
871.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18076
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205056
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195988
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38652
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52073
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4116
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4370
75.5 IPS |
