MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4801
Single Precision Score
27918
Half Precision Score
30477
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:28 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.78 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.1 IPS |
|
|
Image Classification (HP)
|
100% |
16583
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
17925
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16423
266.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19188
311.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16718
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120549
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119027
139.5 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
17587
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
17722
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
38666
459.4 IPS |
|
|
Face Detection (Q)
|
100% |
49397
586.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7369
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101596
782.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
123952
969.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30732
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
219799
282.6 IPS |
|
|
Style Transfer (Q)
|
96% |
212047
273.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42464
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52595
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2821
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4983
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5141
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4728
81.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2715
46.9 IPS |
