MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17885
Single Precision Score
19958
Half Precision Score
17763
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rowles66 |
| Upload Date | January 08 2025 02:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.95 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7717
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7655
1.42 KIPS |
|
|
Image Classification (Q)
|
97% |
6890
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16423
266.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18015
292.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18131
293.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
92776
108.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
95952
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
89359
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
7896
626.4 IPS |
|
|
Object Detection (HP)
|
100% |
8577
680.3 IPS |
|
|
Object Detection (Q)
|
91% |
7444
594.9 IPS |
|
|
Face Detection (SP)
|
100% |
31260
371.4 IPS |
|
|
Face Detection (HP)
|
100% |
35937
427.0 IPS |
|
|
Face Detection (Q)
|
100% |
26336
312.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
39188
301.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40809
314.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
34839
272.3 IPS |
|
|
Style Transfer (SP)
|
100% |
185374
238.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208175
267.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188383
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23318
861.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25463
940.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21401
790.2 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5159
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4719
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2156
37.3 IPS |
