MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4166
Single Precision Score
30711
Half Precision Score
34741
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmejia01 |
| Upload Date | April 01 2025 08:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1620
301.2 IPS |
|
|
Image Classification (HP)
|
100% |
16379
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
19294
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22402
363.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27874
451.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9009
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121320
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121214
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
17312
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20568
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3749
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
39510
469.5 IPS |
|
|
Face Detection (Q)
|
100% |
50412
599.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7155
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98307
757.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121512
950.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22264
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
227634
292.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219300
283.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44560
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54671
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5131
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4860
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5069
87.6 IPS |
