MacBook Pro (16-inch, 2024)
Geekbench AI Score
19805
Single Precision Score
22346
Half Precision Score
19817
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | June 18 2025 11:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9693
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
10156
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
8540
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16897
273.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18223
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18781
304.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
80833
94.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
84582
98.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
79533
93.2 IPS |
|
|
Object Detection (SP)
|
100% |
9003
714.2 IPS |
|
|
Object Detection (HP)
|
100% |
9853
781.6 IPS |
|
|
Object Detection (Q)
|
91% |
8300
663.2 IPS |
|
|
Face Detection (SP)
|
100% |
34890
414.6 IPS |
|
|
Face Detection (HP)
|
100% |
38574
458.3 IPS |
|
|
Face Detection (Q)
|
100% |
27931
331.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
42820
329.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45100
347.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37755
295.1 IPS |
|
|
Style Transfer (SP)
|
100% |
187450
241.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206127
265.0 IPS |
|
|
Style Transfer (Q)
|
96% |
191309
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27152
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28471
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22810
842.3 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3517
60.8 IPS |
