MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
14226
Single Precision Score
15592
Half Precision Score
13971
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | motivio |
| Upload Date | August 15 2024 05:32 PM |
| Views | 8 |
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 | 3.89 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7902
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8541
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
7507
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16673
270.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17618
285.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
16797
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
92587
108.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
96554
112.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
85258
99.9 IPS |
|
|
Object Detection (SP)
|
100% |
7545
598.5 IPS |
|
|
Object Detection (HP)
|
100% |
8512
675.2 IPS |
|
|
Object Detection (Q)
|
92% |
6821
544.4 IPS |
|
|
Face Detection (SP)
|
100% |
29885
355.1 IPS |
|
|
Face Detection (HP)
|
100% |
34778
413.2 IPS |
|
|
Face Detection (Q)
|
100% |
23663
281.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39007
300.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41265
317.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
40982
316.9 IPS |
|
|
Style Transfer (SP)
|
100% |
185384
238.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203930
262.2 IPS |
|
|
Style Transfer (Q)
|
100% |
197116
253.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25491
941.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26041
961.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20249
750.2 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.0 IPS |
|
|
Text Classification (HP)
|
100% |
695
927.1 IPS |
|
|
Text Classification (Q)
|
93% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
