MacBook Pro (16-inch, 2024)
Geekbench AI Score
23153
Single Precision Score
25807
Half Precision Score
24135
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 02:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10161
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
10576
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
9364
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23001
372.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24112
390.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22667
367.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
105856
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
108002
126.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
104588
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
8590
681.3 IPS |
|
|
Object Detection (HP)
|
100% |
10025
795.2 IPS |
|
|
Object Detection (Q)
|
92% |
9318
743.8 IPS |
|
|
Face Detection (SP)
|
100% |
39064
464.2 IPS |
|
|
Face Detection (HP)
|
100% |
41528
493.4 IPS |
|
|
Face Detection (Q)
|
100% |
36323
431.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
43988
338.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46505
358.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
44354
346.5 IPS |
|
|
Style Transfer (SP)
|
100% |
222070
285.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232662
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
221144
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29702
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30768
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26419
975.5 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5296
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6279
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6466
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6505
112.4 IPS |
