MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18798
Single Precision Score
20604
Half Precision Score
18918
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CelteX86 |
| Upload Date | February 27 2025 09:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
8055
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8510
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
7343
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17476
283.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17412
282.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18308
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
92161
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95392
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
89423
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
8413
667.3 IPS |
|
|
Object Detection (HP)
|
100% |
8447
670.0 IPS |
|
|
Object Detection (Q)
|
91% |
7632
609.8 IPS |
|
|
Face Detection (SP)
|
100% |
34428
409.1 IPS |
|
|
Face Detection (HP)
|
100% |
35893
426.5 IPS |
|
|
Face Detection (Q)
|
100% |
27390
325.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40098
308.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41273
318.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
36298
283.7 IPS |
|
|
Style Transfer (SP)
|
100% |
189322
243.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207266
266.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195938
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24846
917.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26579
981.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22987
848.8 IPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4841
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4756
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2859
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2924
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3005
51.9 IPS |
