MacBook Pro (16-inch, 2024)
Geekbench AI Score
5979
Single Precision Score
36600
Half Precision Score
48882
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MrSunamix |
| Upload Date | May 19 2025 09:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
17151
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21655
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22643
367.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31588
512.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19248
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122993
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230017
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
19053
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23734
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4899
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
44700
531.1 IPS |
|
|
Face Detection (Q)
|
100% |
59884
711.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9107
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110169
848.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178266
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37130
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231965
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297551
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45544
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77009
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5253
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16151
278.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16233
280.5 IPS |
