MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
16625
Single Precision Score
18757
Half Precision Score
16530
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | twichi |
| Upload Date | October 07 2024 05:48 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
7495
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7777
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
6848
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16534
268.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17349
281.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17865
289.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
91495
106.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
95177
111.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
89647
105.1 IPS |
|
|
Object Detection (SP)
|
100% |
6638
526.5 IPS |
|
|
Object Detection (HP)
|
100% |
7865
623.8 IPS |
|
|
Object Detection (Q)
|
91% |
6753
539.6 IPS |
|
|
Face Detection (SP)
|
100% |
30997
368.3 IPS |
|
|
Face Detection (HP)
|
100% |
35561
422.5 IPS |
|
|
Face Detection (Q)
|
100% |
26553
315.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
37203
286.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41157
317.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
33139
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
184313
236.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203732
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
186685
240.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24269
896.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25066
925.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20778
767.3 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5129
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4632
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1301
22.5 IPS |
