MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4166
Single Precision Score
31672
Half Precision Score
35804
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tlonergan02 |
| Upload Date | November 04 2024 05:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
16478
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
18544
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21858
354.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27284
442.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8893
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122148
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
119753
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
17123
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19363
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
37396
444.3 IPS |
|
|
Face Detection (Q)
|
100% |
50071
595.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7236
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96026
739.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
119788
936.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22321
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225449
289.8 IPS |
|
|
Style Transfer (Q)
|
96% |
217986
281.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5227
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43562
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52706
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4703
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8050
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9107
157.4 IPS |
