MacBook Pro (13-inch, 2022)
Geekbench AI Score
3319
Single Precision Score
26690
Half Precision Score
29149
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Computer-Test-21987 |
| Upload Date | March 11 2026 06:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
14756
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
15224
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19722
319.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23755
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6329
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
102579
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105517
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
15850
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17482
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
34249
407.0 IPS |
|
|
Face Detection (Q)
|
100% |
43699
519.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5444
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87623
675.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108480
847.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18076
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204918
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189354
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39194
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44248
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3843
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4350
75.2 IPS |
