MacBook Pro (13-inch, 2022)
Geekbench AI Score
7593
Single Precision Score
8293
Half Precision Score
7777
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 06 2025 09:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
3792
705.1 IPS |
|
|
Image Classification (HP)
|
100% |
3812
708.9 IPS |
|
|
Image Classification (Q)
|
96% |
3397
634.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5787
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5950
96.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5686
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24712
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26932
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26052
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3570
283.2 IPS |
|
|
Object Detection (HP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (Q)
|
92% |
3478
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
10475
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
12273
145.8 IPS |
|
|
Face Detection (Q)
|
100% |
10307
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16969
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18362
141.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16615
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42643
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49296
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47838
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9916
366.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10699
395.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8890
328.3 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1655
28.6 IPS |
