MacBook Pro (13-inch, 2022)
Geekbench AI Score
6305
Single Precision Score
7251
Half Precision Score
5361
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | iBob |
| Upload Date | August 15 2024 06:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.16 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3607
670.9 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.8 IPS |
|
|
Image Classification (Q)
|
99% |
3160
589.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3893
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4988
80.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4874
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24638
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26360
30.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
23837
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3032
240.5 IPS |
|
|
Object Detection (HP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (Q)
|
91% |
2426
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
9362
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
11421
135.7 IPS |
|
|
Face Detection (Q)
|
100% |
7854
93.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16518
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17998
138.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
2721
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41900
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48567
62.4 IPS |
|
|
Style Transfer (Q)
|
100% |
48328
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9981
368.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10634
392.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7615
282.1 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3471
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
807
13.9 IPS |
