MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4755
Single Precision Score
30170
Half Precision Score
33237
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | April 06 2025 07:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (HP)
|
100% |
16592
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
18575
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22050
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26853
435.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16636
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119737
139.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
118209
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
17490
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
17101
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
39175
465.5 IPS |
|
|
Face Detection (Q)
|
100% |
50182
596.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101073
778.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
116223
908.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30208
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
220906
284.0 IPS |
|
|
Style Transfer (Q)
|
96% |
209724
270.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5698
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38289
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50774
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4856
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4843
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4785
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5426
93.8 IPS |
