MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13850
Single Precision Score
15286
Half Precision Score
13949
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | strangecargo |
| Upload Date | August 15 2024 08:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.02 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7468
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7589
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
6812
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15943
258.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16765
271.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
16156
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
90843
106.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
94953
110.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
82831
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
7397
586.7 IPS |
|
|
Object Detection (HP)
|
100% |
7946
630.3 IPS |
|
|
Object Detection (Q)
|
92% |
6482
517.4 IPS |
|
|
Face Detection (SP)
|
100% |
27068
321.6 IPS |
|
|
Face Detection (HP)
|
100% |
30249
359.4 IPS |
|
|
Face Detection (Q)
|
100% |
22398
266.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
37841
291.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42175
324.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
40420
312.5 IPS |
|
|
Style Transfer (SP)
|
100% |
188929
242.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202661
260.5 IPS |
|
|
Style Transfer (Q)
|
100% |
198868
255.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25561
943.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25785
952.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19493
722.2 IPS |
|
|
Text Classification (SP)
|
100% |
331
441.5 IPS |
|
|
Text Classification (HP)
|
100% |
547
730.7 IPS |
|
|
Text Classification (Q)
|
93% |
689
924.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1952
33.7 IPS |
