Mac16,5
Geekbench AI Score
5967
Single Precision Score
36697
Half Precision Score
49842
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | critters |
| Upload Date | November 21 2024 05:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
17541
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22400
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2584
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22604
366.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31229
506.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19245
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123069
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231309
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
19432
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
24318
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4781
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
44875
533.2 IPS |
|
|
Face Detection (Q)
|
100% |
64503
766.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9062
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109350
842.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180315
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
37066
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232359
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295269
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7203
266.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45206
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78238
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5382
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6104
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16493
284.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16629
287.4 IPS |
