MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17484
Single Precision Score
19356
Half Precision Score
15229
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | kernkraft |
| Upload Date | October 02 2024 06:47 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
7768
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8103
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
9049
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17027
276.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17626
285.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
17416
282.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
92397
107.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
96167
112.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
87540
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (HP)
|
100% |
8443
669.7 IPS |
|
|
Object Detection (Q)
|
91% |
7276
581.4 IPS |
|
|
Face Detection (SP)
|
100% |
32236
383.0 IPS |
|
|
Face Detection (HP)
|
100% |
34777
413.2 IPS |
|
|
Face Detection (Q)
|
100% |
26163
310.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37767
291.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40626
313.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
6092
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
185497
238.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204327
262.7 IPS |
|
|
Style Transfer (Q)
|
100% |
205736
264.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24195
893.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24990
922.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19998
740.9 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4881
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4690
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2174
37.6 IPS |
