Mac16,5
Geekbench AI Score
20134
Single Precision Score
23772
Half Precision Score
21194
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9748
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9968
1.85 KIPS |
|
|
Image Classification (Q)
|
97% |
8379
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19584
317.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20238
328.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20980
340.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106676
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
109649
127.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103322
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
9112
722.8 IPS |
|
|
Object Detection (HP)
|
100% |
10089
800.3 IPS |
|
|
Object Detection (Q)
|
91% |
8618
688.6 IPS |
|
|
Face Detection (SP)
|
100% |
39301
467.0 IPS |
|
|
Face Detection (HP)
|
100% |
41217
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
31540
374.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44152
340.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46860
361.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
39804
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
218496
280.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236722
304.3 IPS |
|
|
Style Transfer (Q)
|
96% |
217543
280.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29437
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31214
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25526
942.5 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5264
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5236
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3201
55.3 IPS |
