MacBook Pro (13-inch, 2022)
Geekbench AI Score
7272
Single Precision Score
8154
Half Precision Score
7516
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 19 2025 02:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3710
690.0 IPS |
|
|
Image Classification (HP)
|
100% |
3689
686.1 IPS |
|
|
Image Classification (Q)
|
96% |
3457
645.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5692
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5874
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5616
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24594
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26299
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25406
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3645
289.1 IPS |
|
|
Object Detection (HP)
|
100% |
3766
298.7 IPS |
|
|
Object Detection (Q)
|
92% |
3403
271.6 IPS |
|
|
Face Detection (SP)
|
100% |
10308
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
12073
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
9944
118.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16755
129.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17980
138.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
16406
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42756
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48678
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47101
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9878
364.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10181
375.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8811
325.4 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1297
22.4 IPS |
