MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2666
Single Precision Score
16705
Half Precision Score
17779
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | KwisatzJim |
| Upload Date | August 17 2024 12:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1324
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
7477
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
8326
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6681
108.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6689
108.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8465
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
103642
120.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
102273
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
10077
799.3 IPS |
|
|
Object Detection (Q)
|
93% |
10673
851.6 IPS |
|
|
Face Detection (SP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
13450
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
15246
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4394
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58761
452.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
63290
489.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12536
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
151609
194.9 IPS |
|
|
Style Transfer (Q)
|
100% |
153354
197.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21223
783.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26467
980.6 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4464
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4635
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2858
49.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2861
49.4 IPS |
