MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18070
Single Precision Score
20053
Half Precision Score
18289
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | February 01 2025 01:04 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
7849
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8110
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7203
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16557
268.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17332
281.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17979
291.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
92188
107.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
95129
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
89178
104.5 IPS |
|
|
Object Detection (SP)
|
100% |
7651
606.9 IPS |
|
|
Object Detection (HP)
|
100% |
8421
667.9 IPS |
|
|
Object Detection (Q)
|
91% |
7258
580.0 IPS |
|
|
Face Detection (SP)
|
100% |
32484
386.0 IPS |
|
|
Face Detection (HP)
|
100% |
35121
417.3 IPS |
|
|
Face Detection (Q)
|
100% |
27411
325.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38287
295.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40390
311.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
34632
270.7 IPS |
|
|
Style Transfer (SP)
|
100% |
186787
240.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203997
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
188565
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24089
889.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25147
928.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21144
780.8 IPS |
|
|
Text Classification (SP)
|
100% |
2671
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4586
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2878
49.7 IPS |
