MacBook Pro (13-inch, 2022)
Geekbench AI Score
7289
Single Precision Score
8335
Half Precision Score
7747
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 10:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3758
699.0 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.8 IPS |
|
|
Image Classification (Q)
|
96% |
3440
642.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5767
93.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5947
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5676
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24750
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26768
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26137
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3573
283.4 IPS |
|
|
Object Detection (HP)
|
100% |
3663
290.5 IPS |
|
|
Object Detection (Q)
|
92% |
3497
279.2 IPS |
|
|
Face Detection (SP)
|
100% |
10433
124.0 IPS |
|
|
Face Detection (HP)
|
100% |
12231
145.3 IPS |
|
|
Face Detection (Q)
|
100% |
10140
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16844
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18434
142.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
16790
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41956
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49261
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47748
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9822
362.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10605
391.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8929
329.7 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1560
27.0 IPS |
