MacBook Pro (16-inch, 2024)
Geekbench AI Score
23344
Single Precision Score
26141
Half Precision Score
24184
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | May 12 2025 12:11 AM |
| Views | 5 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10181
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
10498
1.95 KIPS |
|
|
Image Classification (Q)
|
96% |
9477
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23282
377.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24380
395.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23028
373.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
105993
123.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
109537
127.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
107176
125.6 IPS |
|
|
Object Detection (SP)
|
100% |
8832
700.6 IPS |
|
|
Object Detection (HP)
|
100% |
10125
803.1 IPS |
|
|
Object Detection (Q)
|
92% |
9416
751.6 IPS |
|
|
Face Detection (SP)
|
100% |
40158
477.2 IPS |
|
|
Face Detection (HP)
|
100% |
39656
471.2 IPS |
|
|
Face Detection (Q)
|
100% |
34050
404.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44210
340.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47960
369.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42936
335.7 IPS |
|
|
Style Transfer (SP)
|
100% |
219600
282.3 IPS |
|
|
Style Transfer (HP)
|
100% |
242709
312.0 IPS |
|
|
Style Transfer (Q)
|
96% |
224984
290.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30403
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32419
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28160
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5418
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5170
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6218
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6476
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6490
112.1 IPS |
