MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4103
Single Precision Score
30429
Half Precision Score
34309
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 18 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1604
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
16396
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
18327
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22459
364.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27804
450.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8588
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
121619
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120057
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
100% |
17508
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20150
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
37402
444.4 IPS |
|
|
Face Detection (Q)
|
100% |
51138
607.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7132
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96580
744.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
121261
948.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22298
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225158
289.4 IPS |
|
|
Style Transfer (Q)
|
96% |
217869
281.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44617
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55534
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4966
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4873
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4818
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5015
86.7 IPS |
