MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4158
Single Precision Score
31420
Half Precision Score
35752
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 13 2024 11:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
15109
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
17358
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21764
352.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27432
444.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8928
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121650
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120095
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
17061
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
19494
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
38668
459.5 IPS |
|
|
Face Detection (Q)
|
100% |
50128
595.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96657
744.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
120376
941.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22446
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225460
289.8 IPS |
|
|
Style Transfer (Q)
|
96% |
218299
281.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43999
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56796
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4734
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7758
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8642
149.4 IPS |
