Mac16,5
Geekbench AI Score
5983
Single Precision Score
9175
Half Precision Score
7020
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | November 25 2024 05:54 PM |
| Views | 8 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
3061
569.2 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3940
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19215
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32271
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24823
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
97% |
3867
307.8 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4877
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8073
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4719
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9095
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14999
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10482
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37097
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53175
68.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40129
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7224
266.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9626
355.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5316
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5331
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5291
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9120
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8967
155.0 IPS |
