MacBook Pro (16-inch, 2024)
Geekbench AI Score
23079
Single Precision Score
25565
Half Precision Score
23970
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TooCasToo |
| Upload Date | October 31 2025 03:29 PM |
| Views | 2 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10047
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10234
1.90 KIPS |
|
|
Image Classification (Q)
|
96% |
9326
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23404
379.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23633
383.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22644
367.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
105402
123.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
108133
126.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
104612
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
8516
675.5 IPS |
|
|
Object Detection (HP)
|
100% |
10073
799.0 IPS |
|
|
Object Detection (Q)
|
92% |
9250
738.4 IPS |
|
|
Face Detection (SP)
|
100% |
39305
467.0 IPS |
|
|
Face Detection (HP)
|
100% |
40549
481.8 IPS |
|
|
Face Detection (Q)
|
100% |
35945
427.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44277
341.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46275
356.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
42364
330.9 IPS |
|
|
Style Transfer (SP)
|
100% |
218360
280.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231833
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
219534
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29331
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30135
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26785
989.0 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5276
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6485
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6488
112.1 IPS |
