MacBook Pro (16-inch, 2024)
Geekbench AI Score
5959
Single Precision Score
36780
Half Precision Score
49895
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 20 2025 01:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (HP)
|
100% |
16853
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
22223
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23052
373.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31129
504.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17918
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122300
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230279
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
19181
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23710
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5267
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
44143
524.5 IPS |
|
|
Face Detection (Q)
|
100% |
63128
750.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9021
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109933
847.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176143
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30978
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232216
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319861
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48415
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78852
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5669
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6525
112.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16076
276.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16163
279.3 IPS |
