MacBook Pro (16-inch, 2024)
Geekbench AI Score
22649
Single Precision Score
25101
Half Precision Score
22894
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kalimarel |
| Upload Date | November 18 2025 09:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9515
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9287
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
9392
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23580
382.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24249
393.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22868
370.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101686
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111010
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
106130
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
9118
723.2 IPS |
|
|
Object Detection (HP)
|
100% |
9663
766.5 IPS |
|
|
Object Detection (Q)
|
92% |
9037
721.4 IPS |
|
|
Face Detection (SP)
|
100% |
38917
462.4 IPS |
|
|
Face Detection (HP)
|
100% |
42838
509.0 IPS |
|
|
Face Detection (Q)
|
100% |
35506
421.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44030
339.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47206
363.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
43090
336.6 IPS |
|
|
Style Transfer (SP)
|
100% |
216469
278.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234652
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
225950
291.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28427
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29193
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25367
936.7 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5286
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5298
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5614
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4134
71.4 IPS |
