MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4153
Single Precision Score
24832
Half Precision Score
27326
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pythagoras |
| Upload Date | August 16 2024 01:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1595
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
16424
3.05 KIPS |
|
|
Image Classification (Q)
|
99% |
17452
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14107
228.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
14145
229.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8927
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116402
135.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
116156
136.2 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
16090
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
19726
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
25527
303.3 IPS |
|
|
Face Detection (Q)
|
100% |
40114
476.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
81254
626.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
90596
700.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22374
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
166765
214.4 IPS |
|
|
Style Transfer (Q)
|
100% |
167773
215.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46753
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53482
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4764
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2667
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2661
46.0 IPS |
