MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19797
Single Precision Score
22137
Half Precision Score
20779
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MegumiKatou |
| Upload Date | May 20 2025 02:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8005
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8411
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
7892
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20088
325.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20767
336.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19772
320.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
91562
106.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
93667
109.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
91164
106.8 IPS |
|
|
Object Detection (SP)
|
100% |
7399
586.9 IPS |
|
|
Object Detection (HP)
|
100% |
8490
673.4 IPS |
|
|
Object Detection (Q)
|
92% |
7808
623.2 IPS |
|
|
Face Detection (SP)
|
100% |
32388
384.8 IPS |
|
|
Face Detection (HP)
|
100% |
37466
445.2 IPS |
|
|
Face Detection (Q)
|
100% |
30831
366.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38740
298.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41081
316.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37887
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
188043
241.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202727
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195957
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25817
953.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25466
940.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22643
836.1 IPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4850
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4961
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5064
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5280
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5256
90.8 IPS |
