Mac16,9
Geekbench AI Score
24209
Single Precision Score
26903
Half Precision Score
24383
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Dachaz |
| Upload Date | September 17 2025 08:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10758
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
10944
2.04 KIPS |
|
|
Image Classification (Q)
|
96% |
9573
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23864
386.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24532
397.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23582
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
103849
121.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
112155
130.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
108637
127.2 IPS |
|
|
Object Detection (SP)
|
100% |
9952
789.4 IPS |
|
|
Object Detection (HP)
|
100% |
10306
817.5 IPS |
|
|
Object Detection (Q)
|
92% |
9718
775.7 IPS |
|
|
Face Detection (SP)
|
100% |
41420
492.2 IPS |
|
|
Face Detection (HP)
|
100% |
44872
533.2 IPS |
|
|
Face Detection (Q)
|
100% |
38356
455.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45362
349.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
49465
381.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
43978
343.5 IPS |
|
|
Style Transfer (SP)
|
100% |
224071
288.0 IPS |
|
|
Style Transfer (HP)
|
100% |
240079
308.6 IPS |
|
|
Style Transfer (Q)
|
96% |
231704
299.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31097
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33197
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27185
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5817
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5994
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6220
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4989
86.2 IPS |
