MacBook Pro (13-inch, 2022)
Geekbench AI Score
3396
Single Precision Score
25317
Half Precision Score
28013
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lesslikely |
| Upload Date | November 12 2024 07:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.28 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
13793
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
15524
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18599
301.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23233
376.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6850
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
99031
115.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
98537
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
15297
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16498
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
31828
378.2 IPS |
|
|
Face Detection (Q)
|
100% |
40052
475.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83245
641.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
103031
805.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18164
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
191933
246.7 IPS |
|
|
Style Transfer (Q)
|
96% |
184006
237.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39698
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47247
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3476
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4071
70.4 IPS |
