Mac16,9
Geekbench AI Score
23027
Single Precision Score
25532
Half Precision Score
23881
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Metalnib |
| Upload Date | May 20 2025 03:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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% |
10205
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10048
1.87 KIPS |
|
|
Image Classification (Q)
|
96% |
9266
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22642
367.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23528
381.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22475
364.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
105278
122.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107513
125.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
104421
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
8538
677.2 IPS |
|
|
Object Detection (HP)
|
100% |
9870
782.9 IPS |
|
|
Object Detection (Q)
|
92% |
9098
726.2 IPS |
|
|
Face Detection (SP)
|
100% |
39904
474.2 IPS |
|
|
Face Detection (HP)
|
100% |
41304
490.8 IPS |
|
|
Face Detection (Q)
|
100% |
36479
433.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
43768
337.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46464
358.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
42725
333.7 IPS |
|
|
Style Transfer (SP)
|
100% |
218685
281.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232750
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
219151
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29380
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30164
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26309
971.5 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5296
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6478
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6408
110.7 IPS |
