MacBook Pro (16-inch, 2024)
Geekbench AI Score
21794
Single Precision Score
22845
Half Precision Score
21697
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iBob |
| Upload Date | January 28 2025 04:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10026
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10357
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
8589
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19849
321.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20850
338.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21161
343.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106930
124.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
110052
128.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103439
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
9061
718.7 IPS |
|
|
Object Detection (HP)
|
100% |
10120
802.7 IPS |
|
|
Object Detection (Q)
|
91% |
8776
701.2 IPS |
|
|
Face Detection (SP)
|
100% |
39114
464.8 IPS |
|
|
Face Detection (HP)
|
100% |
40554
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
32021
380.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44530
343.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47822
368.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
40658
317.8 IPS |
|
|
Style Transfer (SP)
|
100% |
220145
283.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238196
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
218597
282.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30769
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31609
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26171
966.4 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5404
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3527
60.9 IPS |
