MacBook Pro (13-inch, 2022)
Geekbench AI Score
7922
Single Precision Score
8559
Half Precision Score
8005
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 14 2025 05:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3734
694.3 IPS |
|
|
Image Classification (HP)
|
100% |
3742
695.9 IPS |
|
|
Image Classification (Q)
|
96% |
3375
630.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5795
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5966
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5715
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24526
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26823
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25999
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3562
282.6 IPS |
|
|
Object Detection (HP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (Q)
|
92% |
3479
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
10469
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
12258
145.6 IPS |
|
|
Face Detection (Q)
|
100% |
10181
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16880
130.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18254
140.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
16699
130.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42929
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49288
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47708
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9918
366.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10497
387.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8890
328.3 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2200
38.0 IPS |
