MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4188
Single Precision Score
7067
Half Precision Score
5747
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 07:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1582
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (Q)
|
96% |
2106
393.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8951
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17334
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15153
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2405
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6904
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4037
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7294
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13668
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9488
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22614
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34260
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28567
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5267
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5208
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5859
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5920
102.3 IPS |
