MacBook Pro (16-inch, 2024)
Geekbench AI Score
23196
Single Precision Score
26044
Half Precision Score
24209
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | nikhilr |
| Upload Date | August 13 2025 07:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
10027
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10322
1.92 KIPS |
|
|
Image Classification (Q)
|
96% |
9225
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23260
377.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23992
388.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23073
374.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105827
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
109585
127.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
105674
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
8626
684.2 IPS |
|
|
Object Detection (HP)
|
100% |
9871
783.0 IPS |
|
|
Object Detection (Q)
|
92% |
9205
734.7 IPS |
|
|
Face Detection (SP)
|
100% |
39854
473.6 IPS |
|
|
Face Detection (HP)
|
100% |
41749
496.1 IPS |
|
|
Face Detection (Q)
|
100% |
36466
433.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43534
335.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47448
365.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
42744
334.2 IPS |
|
|
Style Transfer (SP)
|
100% |
222218
285.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237867
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
227578
293.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29900
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32131
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27395
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6540
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6452
111.5 IPS |
