MacBook Pro (16-inch, 2024)
Geekbench AI Score
5456
Single Precision Score
35980
Half Precision Score
49440
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | March 06 2025 05:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 4.36 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
17831
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23766
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23020
373.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31699
513.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17781
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123275
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229913
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
100% |
17991
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
23189
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
43627
518.4 IPS |
|
|
Face Detection (Q)
|
100% |
63714
757.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105594
813.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
164969
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
26626
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229265
294.7 IPS |
|
|
Style Transfer (Q)
|
96% |
291562
376.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5992
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41601
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80423
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2833
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5928
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16357
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16314
281.9 IPS |
