MacBook Pro (13-inch, 2022)
Geekbench AI Score
3303
Single Precision Score
26712
Half Precision Score
29998
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 14 2025 05:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
14486
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
16021
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19785
320.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24209
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
106600
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106449
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
15815
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17887
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34410
408.9 IPS |
|
|
Face Detection (Q)
|
100% |
44521
529.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5325
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87394
673.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109629
856.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18081
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205338
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
195696
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38642
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50244
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4316
74.6 IPS |
