MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4815
Single Precision Score
24543
Half Precision Score
26466
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | September 12 2024 03:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
15993
2.97 KIPS |
|
|
Image Classification (Q)
|
99% |
16721
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13810
223.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
13910
225.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16808
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
117283
136.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
113871
133.6 IPS |
|
|
Object Detection (SP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (HP)
|
100% |
15936
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
16715
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
24510
291.2 IPS |
|
|
Face Detection (Q)
|
100% |
38594
458.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7328
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
84562
651.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
88231
682.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30779
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
163489
210.2 IPS |
|
|
Style Transfer (Q)
|
100% |
167726
215.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38894
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
51727
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4723
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4798
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2742
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2730
47.2 IPS |
