MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4783
Single Precision Score
7521
Half Precision Score
6004
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | calvarybell |
| Upload Date | December 07 2024 05:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.8 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3386
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16692
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27761
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21778
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
97% |
2953
235.1 IPS |
|
|
Object Detection (Q)
|
94% |
2195
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6589
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3965
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7512
57.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12946
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8977
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30799
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
44160
56.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33266
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5809
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7904
291.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5072
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5229
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
4846
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4572
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7014
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7132
123.3 IPS |
