MacBook Pro (13-inch, 2022)
Geekbench AI Score
7959
Single Precision Score
8971
Half Precision Score
8337
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | StoneMan240 |
| Upload Date | September 07 2025 07:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3707
689.3 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
3472
648.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5706
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5873
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5602
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24556
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26771
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25963
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3646
289.2 IPS |
|
|
Object Detection (HP)
|
100% |
3826
303.5 IPS |
|
|
Object Detection (Q)
|
92% |
3404
271.7 IPS |
|
|
Face Detection (SP)
|
100% |
10373
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
12232
145.3 IPS |
|
|
Face Detection (Q)
|
100% |
9958
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16827
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18179
140.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
16788
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42462
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49305
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
48035
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9897
365.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10450
385.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8879
327.9 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3411
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3367
58.2 IPS |
