MacBook Pro (16-inch, 2024)
Geekbench AI Score
5614
Single Precision Score
37307
Half Precision Score
49955
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Eterius |
| Upload Date | May 07 2025 02:19 PM |
| Views | 12 |
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% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
16855
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
22663
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22635
366.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31650
513.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18226
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122269
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
228122
267.4 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
19191
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23111
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4926
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
45026
535.0 IPS |
|
|
Face Detection (Q)
|
100% |
65484
778.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8856
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104286
803.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180506
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
26566
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233660
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297029
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45121
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76425
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
7011
9.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5767
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6270
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16810
289.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16541
285.8 IPS |
