MacBook Pro (16-inch, 2024)
Geekbench AI Score
5979
Single Precision Score
36373
Half Precision Score
49488
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | aboudesidaoui |
| Upload Date | January 06 2025 01:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (HP)
|
100% |
17562
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
23440
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2597
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22561
365.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31082
503.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19278
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123055
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229957
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
21030
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
26316
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
41173
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
62400
741.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9097
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109952
847.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
175809
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
37306
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232508
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297293
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7243
267.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45067
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76071
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5003
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6085
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16097
277.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16101
278.3 IPS |
