MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
12731
Single Precision Score
15134
Half Precision Score
13357
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Sikelik |
| Upload Date | August 08 2025 06:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.96 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6592
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6837
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6109
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11219
181.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12018
194.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11400
184.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45474
53.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
47197
55.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46534
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
6086
482.7 IPS |
|
|
Object Detection (HP)
|
100% |
6657
528.0 IPS |
|
|
Object Detection (Q)
|
92% |
5898
470.8 IPS |
|
|
Face Detection (SP)
|
100% |
17542
208.4 IPS |
|
|
Face Detection (HP)
|
100% |
22397
266.1 IPS |
|
|
Face Detection (Q)
|
100% |
17785
211.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27970
215.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29940
230.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
27670
216.1 IPS |
|
|
Style Transfer (SP)
|
100% |
93230
119.8 IPS |
|
|
Style Transfer (HP)
|
100% |
105242
135.3 IPS |
|
|
Style Transfer (Q)
|
96% |
101724
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15270
563.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16341
603.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14211
524.7 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4090
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2563
44.3 IPS |
