Mac16,5
Geekbench AI Score
21423
Single Precision Score
24515
Half Precision Score
21881
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10395
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10742
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
8991
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19708
319.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20874
338.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21510
348.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
107680
125.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
110624
129.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104032
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
9310
738.4 IPS |
|
|
Object Detection (HP)
|
100% |
10398
824.8 IPS |
|
|
Object Detection (Q)
|
91% |
8843
706.6 IPS |
|
|
Face Detection (SP)
|
100% |
39859
473.6 IPS |
|
|
Face Detection (HP)
|
100% |
41799
496.7 IPS |
|
|
Face Detection (Q)
|
100% |
32655
388.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44831
345.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47336
364.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40496
316.5 IPS |
|
|
Style Transfer (SP)
|
100% |
221321
284.5 IPS |
|
|
Style Transfer (HP)
|
100% |
240242
308.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220831
285.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30832
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32369
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26532
979.7 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5443
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5354
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3409
58.9 IPS |
