MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4159
Single Precision Score
30120
Half Precision Score
33825
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 05:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
16607
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
19770
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22161
359.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27276
442.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8995
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121903
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119962
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
17133
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19631
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
38329
455.4 IPS |
|
|
Face Detection (Q)
|
100% |
49897
592.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7217
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96412
742.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
120242
940.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22439
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
223921
287.9 IPS |
|
|
Style Transfer (Q)
|
96% |
218679
282.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45209
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53474
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4755
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4718
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4496
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4665
80.6 IPS |
