Mac16,5
Geekbench AI Score
5981
Single Precision Score
36724
Half Precision Score
48736
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 02 2024 11:44 AM |
| Views | 38 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
17617
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22554
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22622
366.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31105
504.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19140
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123120
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229579
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
19515
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24014
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4778
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
44262
525.9 IPS |
|
|
Face Detection (Q)
|
100% |
54870
652.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104716
806.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178208
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37374
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231805
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297420
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7325
270.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46634
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77649
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5737
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5327
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6106
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16214
279.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16249
280.8 IPS |
