Mac16,6
Geekbench AI Score
22084
Single Precision Score
24644
Half Precision Score
21631
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | November 11 2024 10:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 3.89 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11146
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
11392
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
9327
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20074
325.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20666
335.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21060
341.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
108362
126.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
111724
130.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104258
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
9334
740.4 IPS |
|
|
Object Detection (HP)
|
100% |
10582
839.4 IPS |
|
|
Object Detection (Q)
|
91% |
8997
718.9 IPS |
|
|
Face Detection (SP)
|
100% |
36264
430.9 IPS |
|
|
Face Detection (HP)
|
100% |
42854
509.2 IPS |
|
|
Face Detection (Q)
|
100% |
29924
355.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45589
351.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48976
377.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
39547
309.1 IPS |
|
|
Style Transfer (SP)
|
100% |
228323
293.5 IPS |
|
|
Style Transfer (HP)
|
100% |
243018
312.4 IPS |
|
|
Style Transfer (Q)
|
96% |
225480
291.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32039
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33262
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27279
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5179
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3229
55.8 IPS |
