MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4831
Single Precision Score
31135
Half Precision Score
34000
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tim2o |
| Upload Date | January 15 2025 10:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.57 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1565
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
16870
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
17574
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22463
364.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27887
452.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16718
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122499
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121664
142.6 IPS |
|
|
Object Detection (SP)
|
100% |
1979
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
20883
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
20505
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
4093
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
38999
463.4 IPS |
|
|
Face Detection (Q)
|
100% |
50090
595.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7416
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109699
845.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127456
996.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30891
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226822
291.6 IPS |
|
|
Style Transfer (Q)
|
96% |
215392
278.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39733
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53417
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4923
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4653
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4652
80.4 IPS |
