MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4102
Single Precision Score
27198
Half Precision Score
30550
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Bonneville |
| Upload Date | January 29 2025 09:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1538
285.9 IPS |
|
|
Image Classification (HP)
|
100% |
16737
3.11 KIPS |
|
|
Image Classification (Q)
|
99% |
18934
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17746
287.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
17745
287.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8715
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
116909
136.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
115965
136.0 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
16610
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
20873
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
25925
308.0 IPS |
|
|
Face Detection (Q)
|
100% |
40413
480.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6963
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
81977
631.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
91989
711.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21861
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169337
217.7 IPS |
|
|
Style Transfer (Q)
|
100% |
169557
218.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5194
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47591
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
57339
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4865
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4885
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4610
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4932
85.2 IPS |
