MacBook Pro (13-inch, 2022)
Geekbench AI Score
7266
Single Precision Score
8075
Half Precision Score
7623
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 10 2025 07:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
3642
677.2 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.2 IPS |
|
|
Image Classification (Q)
|
96% |
3415
637.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5666
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5874
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5634
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24626
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26339
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25427
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3648
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
3765
298.6 IPS |
|
|
Object Detection (Q)
|
92% |
3391
270.7 IPS |
|
|
Face Detection (SP)
|
100% |
10447
124.1 IPS |
|
|
Face Detection (HP)
|
100% |
12231
145.3 IPS |
|
|
Face Detection (Q)
|
100% |
10004
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16786
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17878
137.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
16219
126.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42042
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48666
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47167
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9935
366.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10112
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9315
344.0 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1471
25.4 IPS |
