MacBook Pro (16-inch, 2024)
Geekbench AI Score
21524
Single Precision Score
23702
Half Precision Score
21553
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | aminutolo |
| Upload Date | February 23 2025 03:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9985
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10403
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
8608
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19305
313.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20595
333.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21045
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106911
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
109817
128.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103367
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
8982
712.5 IPS |
|
|
Object Detection (HP)
|
100% |
10042
796.5 IPS |
|
|
Object Detection (Q)
|
91% |
8645
690.8 IPS |
|
|
Face Detection (SP)
|
100% |
39098
464.6 IPS |
|
|
Face Detection (HP)
|
100% |
37432
444.8 IPS |
|
|
Face Detection (Q)
|
100% |
31469
373.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44050
339.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46691
359.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
39958
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
218867
281.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236850
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
217628
280.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29489
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30903
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26109
964.1 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5316
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5279
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3543
61.2 IPS |
