MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2578
Single Precision Score
16743
Half Precision Score
17833
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
7602
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
8402
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6697
108.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6698
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8464
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
104561
122.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
102432
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
9836
780.2 IPS |
|
|
Object Detection (Q)
|
93% |
10648
849.6 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
13430
159.6 IPS |
|
|
Face Detection (Q)
|
100% |
15645
185.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4317
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59001
454.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
63254
489.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12453
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
151692
195.0 IPS |
|
|
Style Transfer (Q)
|
100% |
153955
197.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21026
776.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26554
983.8 IPS |
|
|
Text Classification (SP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2763
47.7 IPS |
