MacBook Pro (16-inch, 2024)
Geekbench AI Score
5590
Single Precision Score
36914
Half Precision Score
49999
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | May 12 2025 12:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2120
394.2 IPS |
|
|
Image Classification (HP)
|
100% |
17514
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22969
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22554
365.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31259
506.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17980
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122383
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229544
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
20443
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
23507
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
42409
503.9 IPS |
|
|
Face Detection (Q)
|
100% |
65355
776.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110480
851.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
179130
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26742
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232972
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
290608
375.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46113
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79232
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5635
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6164
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16744
288.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16592
286.7 IPS |
