Mac16,9
Geekbench AI Score
23522
Single Precision Score
26223
Half Precision Score
24565
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | November 08 2025 03:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10519
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10711
1.99 KIPS |
|
|
Image Classification (Q)
|
96% |
9719
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23424
379.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24339
394.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23017
373.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106428
124.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
109347
127.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
105173
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
8769
695.6 IPS |
|
|
Object Detection (HP)
|
100% |
10162
806.0 IPS |
|
|
Object Detection (Q)
|
92% |
9466
755.6 IPS |
|
|
Face Detection (SP)
|
100% |
39370
467.8 IPS |
|
|
Face Detection (HP)
|
100% |
42076
500.0 IPS |
|
|
Face Detection (Q)
|
100% |
36849
437.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44994
346.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47453
365.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
43597
340.5 IPS |
|
|
Style Transfer (SP)
|
100% |
220824
283.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233806
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
228680
295.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30689
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31578
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27475
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5396
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6319
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6587
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6597
114.0 IPS |
