MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4803
Single Precision Score
31093
Half Precision Score
34175
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 08:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
16217
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
17289
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21843
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26775
434.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16671
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120680
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119499
140.1 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
16722
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
17155
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
38491
457.4 IPS |
|
|
Face Detection (Q)
|
100% |
49270
585.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7410
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101788
784.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
119473
934.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30903
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
221556
284.8 IPS |
|
|
Style Transfer (Q)
|
96% |
209326
270.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37505
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50931
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4685
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4927
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7694
132.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7790
134.6 IPS |
