MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4175
Single Precision Score
32229
Half Precision Score
36439
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FN389 |
| Upload Date | October 30 2024 02:36 PM |
| Views | 9 |
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
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
16565
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
18561
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22054
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27242
441.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8917
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122031
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120503
141.2 IPS |
|
|
Object Detection (SP)
|
100% |
1844
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
17671
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20151
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
36879
438.2 IPS |
|
|
Face Detection (Q)
|
100% |
48328
574.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7270
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96881
746.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
120641
943.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22358
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227249
292.1 IPS |
|
|
Style Transfer (Q)
|
96% |
219684
283.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45779
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56370
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4933
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4953
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8371
144.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9401
162.5 IPS |
