MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
17514
Single Precision Score
18969
Half Precision Score
17441
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 10:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
7909
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8243
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7142
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16500
267.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17344
281.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18160
294.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
91896
107.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
95551
111.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
89736
105.2 IPS |
|
|
Object Detection (SP)
|
100% |
7765
616.0 IPS |
|
|
Object Detection (HP)
|
100% |
8308
659.0 IPS |
|
|
Object Detection (Q)
|
91% |
7141
570.7 IPS |
|
|
Face Detection (SP)
|
100% |
31825
378.2 IPS |
|
|
Face Detection (HP)
|
100% |
35981
427.5 IPS |
|
|
Face Detection (Q)
|
100% |
27198
323.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38436
296.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40429
311.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
33563
262.3 IPS |
|
|
Style Transfer (SP)
|
100% |
186069
239.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205523
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
188468
243.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24716
912.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25932
957.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21301
786.5 IPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4797
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1783
30.8 IPS |
