MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
6492
Single Precision Score
7684
Half Precision Score
2373
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vincent_zh |
| Upload Date | February 11 2025 10:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4341
807.2 IPS |
|
|
Image Classification (HP)
|
100% |
4393
816.9 IPS |
|
|
Image Classification (Q)
|
99% |
3172
591.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4357
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5860
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5852
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25191
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26901
31.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
24598
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
4356
345.5 IPS |
|
|
Object Detection (HP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (Q)
|
91% |
3508
280.2 IPS |
|
|
Face Detection (SP)
|
100% |
11515
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
14159
168.2 IPS |
|
|
Face Detection (Q)
|
100% |
8886
105.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18837
145.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20562
158.4 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
120.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50763
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60625
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
55061
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10669
394.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11712
432.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8883
328.0 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.3 IPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
