MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3935
Single Precision Score
5553
Half Precision Score
4620
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | macbloke |
| Upload Date | August 26 2024 12:41 PM |
| Views | 4 |
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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
2131
396.3 IPS |
|
|
Image Classification (Q)
|
99% |
2121
395.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1502
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8587
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17065
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14523
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
97% |
2572
204.8 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
3371
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6727
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9642
74.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
5055
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21496
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31247
40.2 IPS |
|
|
Style Transfer (Q)
|
100% |
31251
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4287
158.8 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4508
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3194
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4762
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
