MacBook Pro (13-inch, 2022)
Geekbench AI Score
3432
Single Precision Score
27877
Half Precision Score
31328
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 20 2024 09:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
14623
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
16108
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19052
308.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24078
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6854
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
104642
122.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105822
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
15783
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17959
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
33874
402.5 IPS |
|
|
Face Detection (Q)
|
100% |
42746
507.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5610
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86439
666.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109401
854.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18668
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202937
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193543
249.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4089
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41658
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50345
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3698
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6656
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7333
126.7 IPS |
