MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4150
Single Precision Score
24489
Half Precision Score
27378
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | August 15 2024 05:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
15311
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
17277
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14117
228.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
14122
228.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8943
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116363
135.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
115808
135.8 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
15821
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
19683
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
25239
299.9 IPS |
|
|
Face Detection (Q)
|
100% |
39361
467.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
80900
623.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
90455
699.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22425
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168423
216.5 IPS |
|
|
Style Transfer (Q)
|
100% |
166834
214.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44267
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55826
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4710
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2724
47.1 IPS |
