M2 MacBook Pro MacBook Pro (13-inch, 2022)
Geekbench AI Score
3303
Single Precision Score
26712
Half Precision Score
29267
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | UNF12 |
| Upload Date | September 27 2025 01:26 PM |
| Views | 5 |
| Notes | 24GB system memory, 1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
14472
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15851
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19698
319.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23978
388.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6280
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105551
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105107
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15795
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17434
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
34170
406.0 IPS |
|
|
Face Detection (Q)
|
100% |
43453
516.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5363
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86531
666.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
106227
830.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18071
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204828
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189294
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38440
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44585
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3969
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4395
76.0 IPS |
