MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2746
Single Precision Score
13904
Half Precision Score
14339
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 25 2024 04:47 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.94 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
7613
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
7710
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6487
105.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
6495
105.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15360
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
104025
121.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
99996
117.3 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
100% |
10151
805.2 IPS |
|
|
Object Detection (Q)
|
93% |
10181
812.4 IPS |
|
|
Face Detection (SP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
12661
150.4 IPS |
|
|
Face Detection (Q)
|
100% |
14710
174.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4200
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
61929
477.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
64406
498.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15961
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151997
195.4 IPS |
|
|
Style Transfer (Q)
|
100% |
151931
195.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21293
786.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26175
969.8 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
93% |
756
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2532
43.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2531
43.7 IPS |
