MacBook Pro (16-inch, 2024)
Geekbench AI Score
5607
Single Precision Score
37223
Half Precision Score
50695
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 08:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
17992
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22498
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23184
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33248
539.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16313
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
121389
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230114
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
20456
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24229
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
44465
528.3 IPS |
|
|
Face Detection (Q)
|
100% |
63687
756.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110236
849.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177627
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
28859
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232005
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
323620
417.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7135
263.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48027
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80547
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5654
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5879
101.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16370
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16126
278.7 IPS |
