MacBook Pro (16-inch, 2024)
Geekbench AI Score
23134
Single Precision Score
25821
Half Precision Score
24087
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hyperameba |
| Upload Date | May 09 2025 05:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10082
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10300
1.92 KIPS |
|
|
Image Classification (Q)
|
96% |
9084
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22884
371.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23672
383.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22645
367.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
105527
123.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
109362
127.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
105635
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
8680
688.5 IPS |
|
|
Object Detection (HP)
|
100% |
9975
791.2 IPS |
|
|
Object Detection (Q)
|
92% |
9293
741.8 IPS |
|
|
Face Detection (SP)
|
100% |
39732
472.1 IPS |
|
|
Face Detection (HP)
|
100% |
41131
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
36176
429.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43925
338.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47023
362.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
43052
336.6 IPS |
|
|
Style Transfer (SP)
|
100% |
218840
281.3 IPS |
|
|
Style Transfer (HP)
|
100% |
236440
303.9 IPS |
|
|
Style Transfer (Q)
|
96% |
225197
290.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29543
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31155
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27040
998.5 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6282
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6518
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6462
111.7 IPS |
