MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4819
Single Precision Score
31582
Half Precision Score
34050
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | November 25 2024 05:59 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (HP)
|
100% |
16787
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
17411
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21885
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27106
439.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16710
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120607
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
118961
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
1997
158.4 IPS |
|
|
Object Detection (HP)
|
100% |
19931
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
16677
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
37985
451.3 IPS |
|
|
Face Detection (Q)
|
100% |
49049
582.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7424
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103731
799.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
117640
919.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30785
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
219222
281.8 IPS |
|
|
Style Transfer (Q)
|
96% |
209832
270.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37865
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51105
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7197
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7570
130.8 IPS |
