MacBook Pro (13-inch, 2022) - AI - NE MacBook Pro (13-inch, 2022)
Geekbench AI Score
3490
Single Precision Score
26122
Half Precision Score
29533
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ghostiman |
| Upload Date | December 13 2024 11:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
14684
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15689
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19479
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23816
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6856
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
104470
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105809
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
99% |
15753
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17978
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
27772
330.0 IPS |
|
|
Face Detection (Q)
|
100% |
42511
505.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88159
679.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108455
847.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18696
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204035
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
195712
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4136
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39831
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47967
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3778
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3669
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4343
75.1 IPS |
