MacBook Pro (16-inch, 2024)
Geekbench AI Score
5540
Single Precision Score
37359
Half Precision Score
51173
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Bearco |
| Upload Date | May 29 2025 03:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
17317
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22596
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23128
374.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31877
516.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17732
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122485
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229102
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
19732
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
25047
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4851
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
41042
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
65620
779.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8341
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111095
855.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
183127
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
26594
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235041
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296715
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6084
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47925
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82806
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6424
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6152
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16585
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16898
292.0 IPS |
