MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18662
Single Precision Score
20874
Half Precision Score
18590
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | November 25 2024 05:57 PM |
| Views | 5 |
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 (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8495
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
8844
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
7579
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16961
275.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17779
288.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18799
304.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
92896
108.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
96324
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
90229
105.8 IPS |
|
|
Object Detection (SP)
|
100% |
7960
631.4 IPS |
|
|
Object Detection (HP)
|
100% |
8713
691.2 IPS |
|
|
Object Detection (Q)
|
91% |
7376
589.4 IPS |
|
|
Face Detection (SP)
|
100% |
33399
396.9 IPS |
|
|
Face Detection (HP)
|
100% |
37303
443.2 IPS |
|
|
Face Detection (Q)
|
100% |
28111
334.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
38951
300.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41738
321.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
34694
271.1 IPS |
|
|
Style Transfer (SP)
|
100% |
187696
241.3 IPS |
|
|
Style Transfer (HP)
|
100% |
209531
269.4 IPS |
|
|
Style Transfer (Q)
|
96% |
191211
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25598
945.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27339
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21433
791.4 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4723
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2754
47.6 IPS |
