Mac16,5
Geekbench AI Score
22053
Single Precision Score
24844
Half Precision Score
21910
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | issue |
| Upload Date | November 10 2024 12:16 PM |
| Views | 8 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10535
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10837
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
9068
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19924
323.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20969
339.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21619
350.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
107718
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
110753
129.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104404
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
9282
736.3 IPS |
|
|
Object Detection (HP)
|
100% |
10401
825.0 IPS |
|
|
Object Detection (Q)
|
91% |
8898
711.0 IPS |
|
|
Face Detection (SP)
|
100% |
38515
457.6 IPS |
|
|
Face Detection (HP)
|
100% |
44191
525.1 IPS |
|
|
Face Detection (Q)
|
100% |
31112
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45023
346.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47848
368.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40280
314.8 IPS |
|
|
Style Transfer (SP)
|
100% |
222479
286.0 IPS |
|
|
Style Transfer (HP)
|
100% |
241152
310.0 IPS |
|
|
Style Transfer (Q)
|
96% |
221697
286.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30900
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32628
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26678
985.1 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5487
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3442
59.5 IPS |
