MacBook Pro (16-inch, 2024)
Geekbench AI Score
23739
Single Precision Score
26578
Half Precision Score
24701
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | aektann |
| Upload Date | November 02 2025 11:02 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
10486
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10933
2.03 KIPS |
|
|
Image Classification (Q)
|
96% |
9603
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23679
383.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24000
389.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23364
378.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
101761
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111317
129.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
106813
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
9199
729.7 IPS |
|
|
Object Detection (HP)
|
100% |
10042
796.5 IPS |
|
|
Object Detection (Q)
|
92% |
9324
744.2 IPS |
|
|
Face Detection (SP)
|
100% |
39330
467.3 IPS |
|
|
Face Detection (HP)
|
100% |
44876
533.2 IPS |
|
|
Face Detection (Q)
|
100% |
35827
425.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44818
345.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47203
363.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
43254
337.9 IPS |
|
|
Style Transfer (SP)
|
100% |
218563
281.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235989
303.4 IPS |
|
|
Style Transfer (Q)
|
96% |
230704
297.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29689
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30732
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26551
980.4 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5721
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6570
113.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6823
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6975
120.5 IPS |
