MacBook Pro (13-inch, 2022)
Geekbench AI Score
3067
Single Precision Score
20266
Half Precision Score
22351
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | iBob |
| Upload Date | August 15 2024 06:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
13108
2.44 KIPS |
|
|
Image Classification (Q)
|
99% |
15219
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8831
143.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8960
145.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5511
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
94346
110.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
93536
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
14083
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
16283
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
22596
268.5 IPS |
|
|
Face Detection (Q)
|
100% |
33927
403.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5229
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71147
548.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
78148
604.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16103
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
151311
194.5 IPS |
|
|
Style Transfer (Q)
|
100% |
151721
195.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38773
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
45427
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3497
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2345
40.5 IPS |
