MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4786
Single Precision Score
30071
Half Precision Score
32509
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 09:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1502
279.3 IPS |
|
|
Image Classification (HP)
|
100% |
16103
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
17028
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21224
344.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26366
427.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16764
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120359
140.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119124
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (HP)
|
100% |
16588
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
16677
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
38074
452.4 IPS |
|
|
Face Detection (Q)
|
100% |
48970
581.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7259
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100704
775.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
114317
893.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30873
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
220572
283.5 IPS |
|
|
Style Transfer (Q)
|
96% |
209087
269.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5799
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44018
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50386
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4647
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4802
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5394
93.2 IPS |
