MacBook Pro (13-inch, 2022)
Geekbench AI Score
3291
Single Precision Score
26803
Half Precision Score
29581
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
14662
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15731
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19485
315.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24086
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
103512
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105960
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
99% |
15773
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17481
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
34163
405.9 IPS |
|
|
Face Detection (Q)
|
100% |
43578
517.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5424
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88026
678.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109891
858.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18077
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205298
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
196491
253.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40016
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44805
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3874
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4476
77.4 IPS |
