MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4169
Single Precision Score
32269
Half Precision Score
35924
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 07:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
16818
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
18326
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21754
352.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27472
445.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8966
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122717
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120099
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
17826
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
19858
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
37824
449.4 IPS |
|
|
Face Detection (Q)
|
100% |
45106
536.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7277
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96845
746.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
123788
967.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22395
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226128
290.7 IPS |
|
|
Style Transfer (Q)
|
96% |
219773
283.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45347
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54538
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4798
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8465
145.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9287
160.5 IPS |
