Mac16,5
Geekbench AI Score
5945
Single Precision Score
36628
Half Precision Score
50301
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 07:50 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% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
17347
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22833
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22628
366.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31877
516.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19205
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123234
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230891
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
19243
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24901
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4817
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
43332
514.9 IPS |
|
|
Face Detection (Q)
|
100% |
63278
751.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8949
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105465
812.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
179305
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37071
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232992
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297489
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45424
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79335
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5780
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5565
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16705
287.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16631
287.4 IPS |
