MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
17843
Single Precision Score
19784
Half Precision Score
14495
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dank1 |
| Upload Date | August 16 2024 12:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7565
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8043
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
7155
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16335
264.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17422
282.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
16612
269.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
90939
106.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
94644
110.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
83067
97.3 IPS |
|
|
Object Detection (SP)
|
100% |
7629
605.2 IPS |
|
|
Object Detection (HP)
|
100% |
8082
641.1 IPS |
|
|
Object Detection (Q)
|
91% |
6765
540.6 IPS |
|
|
Face Detection (SP)
|
100% |
32477
385.9 IPS |
|
|
Face Detection (HP)
|
100% |
33039
392.6 IPS |
|
|
Face Detection (Q)
|
100% |
23768
282.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
37761
290.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40560
312.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
6162
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
184636
237.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203307
261.4 IPS |
|
|
Style Transfer (Q)
|
100% |
198168
254.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23586
870.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24413
901.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18345
679.7 IPS |
|
|
Text Classification (SP)
|
100% |
2637
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4680
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4544
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2535
43.8 IPS |
