MacBook Pro (13-inch, 2022)
Geekbench AI Score
3209
Single Precision Score
4731
Half Precision Score
3925
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ticonderoga |
| Upload Date | August 18 2024 08:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.3 IPS |
|
|
Image Classification (Q)
|
99% |
1897
353.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1297
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14465
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12350
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2255
179.5 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
2830
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5369
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8578
66.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4331
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17238
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27019
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26987
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3537
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3146
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4503
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4478
77.4 IPS |
