Mac16,5
Geekbench AI Score
5966
Single Precision Score
9169
Half Precision Score
7054
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | critters |
| Upload Date | November 21 2024 05:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
3079
572.7 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3993
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19293
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31861
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24452
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
3887
309.4 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
7987
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
4631
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8835
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14952
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10441
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36954
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52864
68.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39903
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7302
269.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9780
361.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5436
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5420
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5383
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6166
106.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9234
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9317
161.0 IPS |
