MacBook Pro (16-inch, 2024)
Geekbench AI Score
5942
Single Precision Score
36922
Half Precision Score
49670
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | January 05 2025 12:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
17432
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22451
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22773
369.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31744
514.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19161
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123129
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230311
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
19336
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24055
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
44335
526.8 IPS |
|
|
Face Detection (Q)
|
100% |
62345
740.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8921
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109215
841.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179158
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
36933
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
231928
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295858
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45809
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77880
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5875
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6062
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16483
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16334
282.3 IPS |
