MacBook Pro (13-inch, 2022)
Geekbench AI Score
3427
Single Precision Score
27291
Half Precision Score
30570
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jacofaco |
| Upload Date | October 15 2024 08:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
14221
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15382
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19132
310.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23929
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
105807
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105478
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
99% |
15899
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17767
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
30956
367.8 IPS |
|
|
Face Detection (Q)
|
100% |
41321
491.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5631
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86242
664.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
105915
827.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18625
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
199943
257.0 IPS |
|
|
Style Transfer (Q)
|
96% |
195633
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39009
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47218
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3625
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6499
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7053
121.9 IPS |
