MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3948
Single Precision Score
5540
Half Precision Score
4638
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Zztony |
| Upload Date | August 26 2024 07:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (Q)
|
99% |
2135
398.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1495
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8613
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17056
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14521
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
2531
201.5 IPS |
|
|
Object Detection (Q)
|
94% |
1959
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3415
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6713
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9637
74.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
5085
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21585
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31199
40.1 IPS |
|
|
Style Transfer (Q)
|
100% |
31295
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4296
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4553
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4546
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4827
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4782
82.6 IPS |
