MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18272
Single Precision Score
20634
Half Precision Score
17703
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8023
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8287
1.54 KIPS |
|
|
Image Classification (Q)
|
97% |
6390
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17073
276.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17574
284.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17867
289.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92114
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
96472
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
86290
101.1 IPS |
|
|
Object Detection (SP)
|
100% |
7632
605.4 IPS |
|
|
Object Detection (HP)
|
100% |
8450
670.2 IPS |
|
|
Object Detection (Q)
|
91% |
6890
550.6 IPS |
|
|
Face Detection (SP)
|
100% |
29893
355.2 IPS |
|
|
Face Detection (HP)
|
100% |
36418
432.7 IPS |
|
|
Face Detection (Q)
|
100% |
25426
302.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38096
293.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40817
314.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
34947
273.1 IPS |
|
|
Style Transfer (SP)
|
100% |
187940
241.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207024
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
187336
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25575
944.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26422
975.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19419
717.1 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4977
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5013
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2749
47.5 IPS |
